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1. AU2020101210 - AUTOMATED SCREENING SYSTEM OF COVID-19 INFECTED PERSONS BY MEASUREMENT OF RESPIRATORY DATA THROUGH DEEP FACIAL RECOGNITION

Office Australia
Application Number 2020101210
Application Date 30.06.2020
Publication Number 2020101210
Publication Date 16.07.2020
Publication Kind A4
IPC
A61B 5/08
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
08Measuring devices for evaluating the respiratory organs
A61B 5/01
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
01Measuring temperature of body parts
G06K 9/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06T 7/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
Applicants ANGURAJ, DINESH KUMAR DR
C, VINOTHINI MS
J, PRIYA MS
K, SAI PRASANTHI MS
NAYAK, RUDRA KALYAN DR
TRIPATHY, RAMAMANI DR
V RAVI, RENJITH DR
Y, PRASANTH DR
Inventors ANGURAJ, DINESH KUMAR
Y., PRASANTH
NAYAK, RUDRA KALYAN
V. RAVI, RENJITH
TRIPATHY, RAMAMANI
K., SAI PRASANTHI
C., VINOTHINI
J., PRIYA
Agents ANGURAJ, DINESH KUMAR DR
Title
(EN) AUTOMATED SCREENING SYSTEM OF COVID-19 INFECTED PERSONS BY MEASUREMENT OF RESPIRATORY DATA THROUGH DEEP FACIAL RECOGNITION
Abstract
(EN)
More than 10 00 000 people were exposed to the novel coronavirus called COVID 19, which is transpired in Wuhan, China, in December 2019 and became a worldwide medical evacuation rapidly. Vigorous medication and enhanced allotment of hospital facilities in pandemic regions are substantial due to the increased rate of infectious disease. Precise and efficient medication helps to segregate the suspected cases to stabilize the spreading of infection. A severe hurdle is the lack of hospital and medical facilities in pandemic regions. COVID-19isan irregular breathing condition triggered by coronavirus infections, so numerous citizens typically wear masks to reduce the threats of being infected during the pandemic period. This invention presents FLIR E6 that uses RGB and thermal cameras for health screening to acquire the facial expressions in video frames. YOLO V3 is suggested for detecting the facial regions such as the forehead part and nostril areas. Based on the detection of the accurate region, the respiration data is extracted from the masked nostril region. Inevitably, the recurrent neural network model called Long Short Term Memory proposes for classifying as infected or healthy people based on respiratory data. This proposal exhibits that the contactless and smart screening test, which exploits the pre-scan process for virally infected people with high accuracy of detection and obtains relatively high performance. AUTOMATED SCREENING SYSTEM OF COVID-19 INFECTED PERSONS BY MEASUREMENT OF RESPIRATORY DATA THROUGH DEEP FACIAL RECOGNITION Diagram normalperson Fig 1: Data flow diagram